Referso Jobs

Databricks Administrator

inSync Staffing Inc. · Posted Nov 5, 2026

Open

Washington, District of Columbia, United States
On-site
Contract · Senior
7+ years

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Lead Databricks administration, design, optimization, and governance for a Lakehouse platform.

Compensation

Assignment: Six-month contract with possible extension.

Responsibilities

Design and optimize Databricks solutions using Unity Catalog, Delta Lake, Databricks SQL, Workflows, Jobs, and Mosaic AI.
Build scalable ingestion, transformation, and orchestration pipelines with Spark, Delta Live Tables, and Auto Loader.
Tune Spark jobs, clusters, and SQL queries; improve performance, autoscaling, resource utilization, and cost efficiency.
Implement Unity Catalog governance, access controls, security standards, and compliance practices.
Support ML and generative AI workloads using MLflow, Feature Store, Vector Search, and Mosaic AI.

Requirements

Bachelor’s degree in Computer Science, Information Technology, Data Management, or a related field
Nice to have: Databricks certifications in solutions architecture, professional data engineering, or professional machine learning
Nice to have: AWS or Azure architecture certification

See full job description

Member of Technical Staff, Distributed Training Performance

Hark · Posted Nov 10, 2026

Open

San Jose, California, United States
Full-time
$180K–$450K per year

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Improve the performance of Hark's Megatron-based pretraining systems across thousands of GPUs, focusing on model FLOPs utilization, training throughput, and kernel performance.

Compensation

The US base salary range for this full-time position is between $180,000 - $450,000 annually.

Responsibilities

Own MFU and step time for pretraining runs across dense and mixture-of-experts models
Write or integrate fused and custom kernels (CUDA, Triton, CUTLASS) for attention, normalization, and mixture-of-experts routing
Overlap communication with compute, reduce pipeline bubbles, and tune activation recomputation and memory use to raise throughput per GPU
Implement model and optimizer sharding, and optimize data, tensor, pipeline, sequence, context, and expert parallelism for dense and mixture-of-experts architectures
Profile GPU kernels, collective communication, data loading, and mixed-precision training to identify performance and numerical stability bottlenecks

Requirements

Nice to have: mixture-of-experts training at scale
Nice to have: load balancing
Nice to have: all-to-all communication optimization
Nice to have: fault-tolerant training
Nice to have: elastic training

Skills

Python C++/CUDA CUDA Triton CUTLASS GPU profilers BF16 FP8 Megatron-LM NeMo distributed training parallelism communication patterns mixed-precision training fault tolerance NCCL Slurm Kubernetes

See full job description

Member of Technical Staff, Multimodal Pretraining Data

Hark · Posted Nov 10, 2026

Open

San Jose, California, United States
Full-time
$180K–$450K per year

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Develop and curate multimodal datasets for pretraining Hark's AI models, focusing on text, code, image, and video modalities, and design training mixtures and experiments to improve model performance.

Compensation

The US base salary range for this full-time position is between $180,000 - $450,000 annually.

Responsibilities

Develop methods to select, filter, deduplicate, and prepare text, code, image, and video datasets at scale.
Build paired and interleaved datasets, including image-text documents and video-text data.
Build quality classifiers and sampling methods, and measure their impact through controlled training experiments.
Develop synthetic captioning and other supervision methods for image and video data, and assess their accuracy, coverage, and biases.
Design mixtures and curricula across sources, domains, and modalities.

Requirements

Nice to have: image-text alignment
Nice to have: interleaved document construction
Nice to have: video frame sampling
Nice to have: temporal grounding
Nice to have: synthetic captioning

Skills

Python Spark Ray Beam distributed processing data quality duplication detection noisy supervision source imbalance benchmark contamination

See full job description

Member of Technical Staff, Pretraining Evaluations

Hark · Posted Nov 10, 2026

Open

San Jose, California, United States
Full-time
$180K–$450K per year

Apply with RefersoAI Apply on careers page

Build and maintain evaluation harnesses for multimodal foundation models, design and analyze benchmarks, and collaborate with researchers to improve training recipes and capability assessments.

Compensation

The US base salary range for this full-time position is between $180,000 - $450,000 annually.

Responsibilities

Build and maintain an evaluation harness for held-out loss, performance across data domains, and capabilities in text, code, math, and reasoning.
Design evaluations for early checkpoints and smaller models using log-likelihood scoring, few-shot prompts, and generated completions.
Assess benchmark coverage and saturation, quantify uncertainty in results, and work with data researchers to detect training-data contamination.
Version datasets, prompts, graders, and inference settings so results can be reproduced and compared across checkpoints and training runs.
Analyze experiments and work with researchers to identify useful recipe changes, select checkpoints, and prioritize capability improvements.

Requirements

Nice to have: human ratings
Nice to have: model-based graders
Nice to have: code execution sandboxes
Nice to have: math verifiers
Nice to have: programmatic graders

Skills

Python statistical judgment log-likelihood generative scoring few-shot benchmark contamination evaluation pipelines

See full job description

AI Enablement Engineer (India-based)

Frazier & Deeter · Posted Nov 9, 2026

Open

Remote, India
Remote
Full-time · Mid
Competitive salary

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The AI Enablement Engineer is responsible for designing and scaling enterprise-grade AI solutions that enhance productivity and automate workflows across the firm. This role focuses on leveraging Microsoft Copilot, Azure AI Foundry, and Anthropic Claude ecosystem (Claude, Claude Code, Agents, CoWork) to build agentic AI capabilities.

Responsibilities

Design and implement AI-driven solutions using Copilot Studio, Azure AI Foundry, and Claude ecosystem tools
Build and deploy agentic workflows and intelligent agents
Develop integrations across enterprise systems using APIs and AI platforms
Leverage AI to process documents and automate decision workflows
Align solutions with Azure AI Foundry-based architecture

Requirements

Nice to have: Power Automate
Nice to have: Python
Nice to have: APIs
Nice to have: integrations

Skills

Microsoft Copilot Studio Azure AI Foundry Anthropic Claude ecosystem (Claude, Claude Code, Agents, CoWork)agentic AI patterns Anthropic Claude Power Automate Python CI/CD pipelines

Benefits

Competitive salary
Clear career growth path within the firm
Personal and professional skills development and training support

See full job description

Senior Data Scientist, RBQM Analytics

AbbVie · Posted Nov 9, 2026

Open

Florham Park, New Jersey, United States
Senior
3–5 years

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Senior Data Scientist in Risk Based Quality Management Analytics team, applying advanced analytics and machine learning to clinical development.

Responsibilities

Connect with cross-functional teams to design work product and act as analytics consultant
Lead and help establish design principles and standards for analytical work
Develop prototypes, test methods and algorithms using statistical and ML techniques
Enable data-driven insights for clinical development continuum
Ensure adherence to federal and local regulations and quality standards

Requirements

Bachelor’s degree in statistics, analytics, bioinformatics, data science or equivalent field
Master’s degree preferred
Nice to have: Master’s degree

Skills

R Python SQL statistical packages visualization tools Spotfire Tableau Microstrategy Machine Learning advanced analytics techniques cloud computing environments AWS Azure

Benefits

paid time off (vacation, holidays, sick)
medical/dental/vision insurance
401(k)

See full job description

Senior Data Scientist, RBQM Analytics

AbbVie · Posted Nov 9, 2026

Open

South San Francisco, California, United States
Senior
3–5 years

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Senior Data Scientist in the Risk Based Quality Management (RBQM) Analytics team, responsible for advanced analytics, machine learning, and visual analytics to support clinical development.

Responsibilities

Connects with cross-functional teams to design work product and act as an analytics consultant
Anticipates and identifies issues that could affect timelines or quality and develops options and solutions
Leads and helps establish design principles and standards to ensure analytical work product consistency
Develops prototypes, test methods and algorithms using emerging statistical methodologies, ML and AI
Enables data-driven insights to support clinical development continuum, including precision medicine

Requirements

Bachelor’s degree in statistics, analytics, bioinformatics, data science or equivalent field
Master’s degree preferred
Nice to have: Master’s degree

Skills

R Python SQL statistical packages visualization tools Spotfire Tableau Microstrategy Machine Learning advanced analytics techniques cloud computing environments AWS Azure

Benefits

paid time off (vacation, holidays, sick)
medical/dental/vision insurance
401(k)
long-term incentive programs

See full job description

Senior Data Scientist, RBQM Analytics

AbbVie · Posted Nov 9, 2026

Open

North Chicago, Illinois, United States
Full-time · Senior
3–5 years

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The Senior Data Scientist role is a key role to enable application of advanced analytics techniques across clinical development continuum. Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems across R&D.

Responsibilities

Connects with cross-functional teams to design work product and as an analytics consultant.
Anticipates and identifies issues that could affect timelines or quality and develops options and solutions.
Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects and that user experience is optimized.
Develops prototypes, test methods and algorithms.
Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights.

Requirements

Bachelor’s degree statistics
analytics
bioinformatics
data science
Master’s degree preferred

Skills

analytics R Python SQL statistical methods data mining techniques Machine Learning advanced analytics Spotfire Tableau Microstrategy AWS Azure

Benefits

paid time off (vacation, holidays, sick)
medical/dental/vision insurance
401(k)
long-term incentive programs

See full job description

Software Engineer II (Applications)

Astronics Corporation · Posted Oct 7, 2026

Open

Waukegan, Illinois, United States
On-site
Full-time · Associate
$90K–$100K per year

Apply with RefersoAI Apply on careers page

Develop information systems by designing, developing, and installing software solutions for in-flight entertainment and connectivity.

Compensation

Base salary: $90,000 - $100,000

Responsibilities

Develop software solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes
Formulate, design, develop, document, test, and maintain acceptance test, functional test, and/or firmware programming software
Analyze product requirements and design, consulting with hardware engineers
Support factory manufacturing and customers in troubleshooting and root causing issues
Comply with all ethical and legal compliance requirements

Requirements

BS in Computer Science
BS in Software Engineering
BS in Computer Engineering
BS in Electrical Engineering
Nice to have: Java

Skills

Linux (Ubuntu, Yocto, Debian, Raspberry Pi)Python Bash C C++SQLite MySQL Github Subversion JIRA Linux

Benefits

health
dental
vision
disability
life insurance

See full job description

Project Engineer

Noble Machines, Inc · Posted Nov 9, 2026

Open

Sunnyvale, California, United States
On-site
Full-time · Manager
$150K–$210K per year
3+ years

Apply with RefersoAI Apply on careers page

Lead technical projects and programs, integrating software and hardware for customer deployments, managing end-to-end deployment, training, and special projects.

Compensation

Under California’s Pay Transparency Act (SB 1162), the expected base salary range for this position in Sunnyvale, CA is $150,000 – $210,000 per year.

Responsibilities

Deployments
Site readiness
Integration
Test and evidence
Sim-to-real

Requirements

BS or MS in Mechanical, Electrical, Computer, or Robotics Engineering, Computer Science, or equivalent
Nice to have: Deployments in logistics, warehousing, or trailer loading/unloading
Nice to have: heavy industry experience
Nice to have: humanoid or whole-body control experience
Nice to have: Linux administration

Skills

Python C++Linux ROS 2 autonomy stacks fleet management simulation tools robot safety practice OSHA 10/30 MSHA international shipping export classification data pipelines dashboarding NVIDIA Isaac ISO 10218 ISO 13482 ANSI/A3 R15.08

Benefits

healthcare
retirement contributions
performance-based incentives

See full job description

Databricks Administrator

inSync Staffing Inc. · Posted Nov 5, 2026

Open

Washington, District of Columbia, United States
On-site
Contract · Senior
7+ years

Apply with RefersoAI Apply on careers page

Lead Databricks administration, design, optimization, and governance for a Lakehouse platform.

Compensation

Assignment: Six-month contract with possible extension.

Responsibilities

Design and optimize Databricks solutions using Unity Catalog, Delta Lake, Databricks SQL, Workflows, Jobs, and Mosaic AI.
Build scalable ingestion, transformation, and orchestration pipelines with Spark, Delta Live Tables, and Auto Loader.
Tune Spark jobs, clusters, and SQL queries; improve performance, autoscaling, resource utilization, and cost efficiency.
Implement Unity Catalog governance, access controls, security standards, and compliance practices.
Support ML and generative AI workloads using MLflow, Feature Store, Vector Search, and Mosaic AI.

Requirements

Bachelor’s degree in Computer Science, Information Technology, Data Management, or a related field
Nice to have: Databricks certifications in solutions architecture, professional data engineering, or professional machine learning
Nice to have: AWS or Azure architecture certification

See full job description

Member of Technical Staff, Distributed Training Performance

Hark · Posted Nov 10, 2026

Open

San Jose, California, United States
Full-time
$180K–$450K per year

Apply with RefersoAI Apply on careers page

Improve the performance of Hark's Megatron-based pretraining systems across thousands of GPUs, focusing on model FLOPs utilization, training throughput, and kernel performance.

Compensation

The US base salary range for this full-time position is between $180,000 - $450,000 annually.

Responsibilities

Own MFU and step time for pretraining runs across dense and mixture-of-experts models
Write or integrate fused and custom kernels (CUDA, Triton, CUTLASS) for attention, normalization, and mixture-of-experts routing
Overlap communication with compute, reduce pipeline bubbles, and tune activation recomputation and memory use to raise throughput per GPU
Implement model and optimizer sharding, and optimize data, tensor, pipeline, sequence, context, and expert parallelism for dense and mixture-of-experts architectures
Profile GPU kernels, collective communication, data loading, and mixed-precision training to identify performance and numerical stability bottlenecks

Requirements

Nice to have: mixture-of-experts training at scale
Nice to have: load balancing
Nice to have: all-to-all communication optimization
Nice to have: fault-tolerant training
Nice to have: elastic training

Skills

Python C++/CUDA CUDA Triton CUTLASS GPU profilers BF16 FP8 Megatron-LM NeMo distributed training parallelism communication patterns mixed-precision training fault tolerance NCCL Slurm Kubernetes

See full job description

Member of Technical Staff, Multimodal Pretraining Data

Hark · Posted Nov 10, 2026

Open

San Jose, California, United States
Full-time
$180K–$450K per year

Apply with RefersoAI Apply on careers page

Compensation

The US base salary range for this full-time position is between $180,000 - $450,000 annually.

Responsibilities

Develop methods to select, filter, deduplicate, and prepare text, code, image, and video datasets at scale.
Build paired and interleaved datasets, including image-text documents and video-text data.
Build quality classifiers and sampling methods, and measure their impact through controlled training experiments.
Develop synthetic captioning and other supervision methods for image and video data, and assess their accuracy, coverage, and biases.
Design mixtures and curricula across sources, domains, and modalities.

Requirements

Nice to have: image-text alignment
Nice to have: interleaved document construction
Nice to have: video frame sampling
Nice to have: temporal grounding
Nice to have: synthetic captioning

Skills

Python Spark Ray Beam distributed processing data quality duplication detection noisy supervision source imbalance benchmark contamination

See full job description

Member of Technical Staff, Pretraining Evaluations

Hark · Posted Nov 10, 2026

Open

San Jose, California, United States
Full-time
$180K–$450K per year

Apply with RefersoAI Apply on careers page

Build and maintain evaluation harnesses for multimodal foundation models, design and analyze benchmarks, and collaborate with researchers to improve training recipes and capability assessments.

Compensation

The US base salary range for this full-time position is between $180,000 - $450,000 annually.

Responsibilities

Build and maintain an evaluation harness for held-out loss, performance across data domains, and capabilities in text, code, math, and reasoning.
Design evaluations for early checkpoints and smaller models using log-likelihood scoring, few-shot prompts, and generated completions.
Assess benchmark coverage and saturation, quantify uncertainty in results, and work with data researchers to detect training-data contamination.
Version datasets, prompts, graders, and inference settings so results can be reproduced and compared across checkpoints and training runs.
Analyze experiments and work with researchers to identify useful recipe changes, select checkpoints, and prioritize capability improvements.

Requirements

Nice to have: human ratings
Nice to have: model-based graders
Nice to have: code execution sandboxes
Nice to have: math verifiers
Nice to have: programmatic graders

Skills

Python statistical judgment log-likelihood generative scoring few-shot benchmark contamination evaluation pipelines

See full job description

AI Enablement Engineer (India-based)

Frazier & Deeter · Posted Nov 9, 2026

Open

Remote, India
Remote
Full-time · Mid
Competitive salary

Apply with RefersoAI Apply on careers page

Responsibilities

Design and implement AI-driven solutions using Copilot Studio, Azure AI Foundry, and Claude ecosystem tools
Build and deploy agentic workflows and intelligent agents
Develop integrations across enterprise systems using APIs and AI platforms
Leverage AI to process documents and automate decision workflows
Align solutions with Azure AI Foundry-based architecture

Requirements

Nice to have: Power Automate
Nice to have: Python
Nice to have: APIs
Nice to have: integrations

Skills

Microsoft Copilot Studio Azure AI Foundry Anthropic Claude ecosystem (Claude, Claude Code, Agents, CoWork)agentic AI patterns Anthropic Claude Power Automate Python CI/CD pipelines

Benefits

Competitive salary
Clear career growth path within the firm
Personal and professional skills development and training support

See full job description

Senior Data Scientist, RBQM Analytics

AbbVie · Posted Nov 9, 2026

Open

Florham Park, New Jersey, United States
Senior
3–5 years

Apply with RefersoAI Apply on careers page

Senior Data Scientist in Risk Based Quality Management Analytics team, applying advanced analytics and machine learning to clinical development.

Responsibilities

Connect with cross-functional teams to design work product and act as analytics consultant
Lead and help establish design principles and standards for analytical work
Develop prototypes, test methods and algorithms using statistical and ML techniques
Enable data-driven insights for clinical development continuum
Ensure adherence to federal and local regulations and quality standards

Requirements

Bachelor’s degree in statistics, analytics, bioinformatics, data science or equivalent field
Master’s degree preferred
Nice to have: Master’s degree

Skills

R Python SQL statistical packages visualization tools Spotfire Tableau Microstrategy Machine Learning advanced analytics techniques cloud computing environments AWS Azure

Benefits

paid time off (vacation, holidays, sick)
medical/dental/vision insurance
401(k)

See full job description

Senior Data Scientist, RBQM Analytics

AbbVie · Posted Nov 9, 2026

Open

South San Francisco, California, United States
Senior
3–5 years

Apply with RefersoAI Apply on careers page

Senior Data Scientist in the Risk Based Quality Management (RBQM) Analytics team, responsible for advanced analytics, machine learning, and visual analytics to support clinical development.

Responsibilities

Connects with cross-functional teams to design work product and act as an analytics consultant
Anticipates and identifies issues that could affect timelines or quality and develops options and solutions
Leads and helps establish design principles and standards to ensure analytical work product consistency
Develops prototypes, test methods and algorithms using emerging statistical methodologies, ML and AI
Enables data-driven insights to support clinical development continuum, including precision medicine

Requirements

Bachelor’s degree in statistics, analytics, bioinformatics, data science or equivalent field
Master’s degree preferred
Nice to have: Master’s degree

Skills

R Python SQL statistical packages visualization tools Spotfire Tableau Microstrategy Machine Learning advanced analytics techniques cloud computing environments AWS Azure

Benefits

paid time off (vacation, holidays, sick)
medical/dental/vision insurance
401(k)
long-term incentive programs

See full job description

Senior Data Scientist, RBQM Analytics

AbbVie · Posted Nov 9, 2026

Open

North Chicago, Illinois, United States
Full-time · Senior
3–5 years

Apply with RefersoAI Apply on careers page

Responsibilities

Connects with cross-functional teams to design work product and as an analytics consultant.
Anticipates and identifies issues that could affect timelines or quality and develops options and solutions.
Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects and that user experience is optimized.
Develops prototypes, test methods and algorithms.
Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights.

Requirements

Bachelor’s degree statistics
analytics
bioinformatics
data science
Master’s degree preferred

Skills

analytics R Python SQL statistical methods data mining techniques Machine Learning advanced analytics Spotfire Tableau Microstrategy AWS Azure

Benefits

paid time off (vacation, holidays, sick)
medical/dental/vision insurance
401(k)
long-term incentive programs

See full job description

Software Engineer II (Applications)

Astronics Corporation · Posted Oct 7, 2026

Open

Waukegan, Illinois, United States
On-site
Full-time · Associate
$90K–$100K per year

Apply with RefersoAI Apply on careers page

Develop information systems by designing, developing, and installing software solutions for in-flight entertainment and connectivity.

Compensation

Base salary: $90,000 - $100,000

Responsibilities

Develop software solutions by studying information needs; conferring with users; studying systems flow, data usage, and work processes
Formulate, design, develop, document, test, and maintain acceptance test, functional test, and/or firmware programming software
Analyze product requirements and design, consulting with hardware engineers
Support factory manufacturing and customers in troubleshooting and root causing issues
Comply with all ethical and legal compliance requirements

Requirements

BS in Computer Science
BS in Software Engineering
BS in Computer Engineering
BS in Electrical Engineering
Nice to have: Java

Skills

Linux (Ubuntu, Yocto, Debian, Raspberry Pi)Python Bash C C++SQLite MySQL Github Subversion JIRA Linux

Benefits

health
dental
vision
disability
life insurance

See full job description

Project Engineer

Noble Machines, Inc · Posted Nov 9, 2026

Open

Sunnyvale, California, United States
On-site
Full-time · Manager
$150K–$210K per year
3+ years

Apply with RefersoAI Apply on careers page

Lead technical projects and programs, integrating software and hardware for customer deployments, managing end-to-end deployment, training, and special projects.

Compensation

Under California’s Pay Transparency Act (SB 1162), the expected base salary range for this position in Sunnyvale, CA is $150,000 – $210,000 per year.

Responsibilities

Deployments
Site readiness
Integration
Test and evidence
Sim-to-real

Requirements

BS or MS in Mechanical, Electrical, Computer, or Robotics Engineering, Computer Science, or equivalent
Nice to have: Deployments in logistics, warehousing, or trailer loading/unloading
Nice to have: heavy industry experience
Nice to have: humanoid or whole-body control experience
Nice to have: Linux administration

Skills

Benefits

healthcare
retirement contributions
performance-based incentives

See full job description

Python (FastAPI) jobs

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